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Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
item_id: string
suite: string
fixture: string
status: string
gate: struct<feature_address: int64, intent_id: int64, intent_name: string, opcode: string, flip_entropy_b (... 31 chars omitted)
  child 0, feature_address: int64
  child 1, intent_id: int64
  child 2, intent_name: string
  child 3, opcode: string
  child 4, flip_entropy_bits: double
  child 5, core_index: int64
ticks: int64
patch: null
result: struct<status: string, shell_exit_code: int64, patch_ready: bool>
  child 0, status: string
  child 1, shell_exit_code: int64
  child 2, patch_ready: bool
residual: null
retry: int64
ts: int64
created_ts: int64
note: string
official_submission: bool
source_path: string
to
{'created_ts': Value('int64'), 'source_path': Value('string'), 'official_submission': Value('bool'), 'note': Value('string')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 147, in get_rows_or_raise
                  return get_rows(
                      dataset=dataset,
                  ...<4 lines>...
                      column_names=column_names,
                  )
                File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
                  return func(*args, **kwargs)
                File "/src/services/worker/src/worker/utils.py", line 127, in get_rows
                  rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
                File "/src/services/worker/src/worker/utils.py", line 478, in safe_iter
                  yield from ds.decode(False) if ds.features else ds
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2818, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2355, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2380, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 343, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              item_id: string
              suite: string
              fixture: string
              status: string
              gate: struct<feature_address: int64, intent_id: int64, intent_name: string, opcode: string, flip_entropy_b (... 31 chars omitted)
                child 0, feature_address: int64
                child 1, intent_id: int64
                child 2, intent_name: string
                child 3, opcode: string
                child 4, flip_entropy_bits: double
                child 5, core_index: int64
              ticks: int64
              patch: null
              result: struct<status: string, shell_exit_code: int64, patch_ready: bool>
                child 0, status: string
                child 1, shell_exit_code: int64
                child 2, patch_ready: bool
              residual: null
              retry: int64
              ts: int64
              created_ts: int64
              note: string
              official_submission: bool
              source_path: string
              to
              {'created_ts': Value('int64'), 'source_path': Value('string'), 'official_submission': Value('bool'), 'note': Value('string')}
              because column names don't match

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